Health economics is the study of the distribution of undersupplied goods in the health care market. The healthcare market has unique characteristics which makes the application of economic theory challenging. Nowadays, healthcare is provided by the health system, which, in several countries, costs nothing on medical care. Therefore, health systems face the dilemma of maximising a particular societal objective with available resources. As one of the analytical tools available in health economics, value assessment can be used to assess value for money through comparative analysis of the costs and consequences of various alternative courses of action. However, the methodological framework developed for the evaluation of pharmaceutical products is not well suited to address issues related to the evaluation of medical and digital health technologies. As a result, the economic tools that can be used to provide economic evidence for MedTech and AI-enabled MedTech remain an open area for research.
By introducing health economics and its economic evaluation framework, the current challenges of the economic evaluation of medical technology and artificial intelligence are outlined. The initial goal of this Research Topic is to discuss the use of the value proposition as a means to address some of these challenges. Also, this Research Topic aims to inform readers of the essential components required for the proper economic evaluation of AI in cardiothoracic imaging. Moreover, on the basis of the overview of the principles behind an economic evaluation and how these methods inform decision-making, we would like to exemplify aspects of the economic evaluation process relevant to the challenges related to the economic evaluation process relevant to the challenges related to the economic evaluation for MedTech and MedTech-AI through a case study.
We welcome submissions which address the following topics:
• How economic evaluation informs decision, particularly in heath economics.
• Some challenges on MedTech AI, such as health system changes, a variety of context-dependent interventions during data training and so on.
• Guidance for the economic evaluation of AI-enabled MedTech.
• Value proposition framework optimization.
• MedTech evaluation, particularly when married with AI software, is challenging due to difficulty linking output with health outcomes.
Health economics is the study of the distribution of undersupplied goods in the health care market. The healthcare market has unique characteristics which makes the application of economic theory challenging. Nowadays, healthcare is provided by the health system, which, in several countries, costs nothing on medical care. Therefore, health systems face the dilemma of maximising a particular societal objective with available resources. As one of the analytical tools available in health economics, value assessment can be used to assess value for money through comparative analysis of the costs and consequences of various alternative courses of action. However, the methodological framework developed for the evaluation of pharmaceutical products is not well suited to address issues related to the evaluation of medical and digital health technologies. As a result, the economic tools that can be used to provide economic evidence for MedTech and AI-enabled MedTech remain an open area for research.
By introducing health economics and its economic evaluation framework, the current challenges of the economic evaluation of medical technology and artificial intelligence are outlined. The initial goal of this Research Topic is to discuss the use of the value proposition as a means to address some of these challenges. Also, this Research Topic aims to inform readers of the essential components required for the proper economic evaluation of AI in cardiothoracic imaging. Moreover, on the basis of the overview of the principles behind an economic evaluation and how these methods inform decision-making, we would like to exemplify aspects of the economic evaluation process relevant to the challenges related to the economic evaluation process relevant to the challenges related to the economic evaluation for MedTech and MedTech-AI through a case study.
We welcome submissions which address the following topics:
• How economic evaluation informs decision, particularly in heath economics.
• Some challenges on MedTech AI, such as health system changes, a variety of context-dependent interventions during data training and so on.
• Guidance for the economic evaluation of AI-enabled MedTech.
• Value proposition framework optimization.
• MedTech evaluation, particularly when married with AI software, is challenging due to difficulty linking output with health outcomes.
